2101 Data Engineer

Requisitos

• Experience Level: 5+ years of dedicated, hands-on data engineering experience
• Data Warehousing & Transformation: Deep expertise in Snowflake (data modeling, datamarts, warehouse design), Google BigQuery (querying an..
• Programming & Ingestion: Strong object-oriented Python scripting capabilities and hands-on experience with REST API integrations and real..
• Orchestration & Querying: Proficiency in Apache Airflow for pipeline orchestration and advanced, highly optimized SQL writing skills
• Governance & Security: Demonstrated experience in the secure handling of large-scale, sensitive data (PII) and writing comprehensive tech..

Desejáveis

• Semantic Layer Design: Experience in semantic modeling design to provide business-object abstractions over dbt and warehouse models
• LLM-Native Query Layers: Hands-on experience with Snowflake Cortex (Cortex Analyst, Cortex Search) or equivalent LLM query frameworks
• Agentic Frameworks: Exposure to MCP (Model Context Protocol) or similar tool-calling and context-exposure frameworks
• Context Engineering: Familiarity with prompt and context engineering to ground AI agents in certified enterprise data sources